Khairunnisa Maharani

An automated end-to-end data pipeline using Apache Airflow, Spark, and MinIO for processing NYC Taxi datasets. Features containerized infrastructure (Docker), distributed transformations, and data quality assurance with Great Expectations.

Config files for my GitHub profile.

End-to-end credit risk scoring pipeline following Basel IRB principles with XGBoost, MLflow, FastAPI, Docker, and Tableau.

Local data warehouse + auto cleaner. Drop CSV/Excel/Parquet/JSON, let DuckDB do the work.

A production-grade Modern Data Stack (MDS) implementation featuring automated ELT, SCD Type 2 history tracking, and CI/CD quality guardrails using Dagster, dbt Core, DuckDB, and Soda.

Quality-aware deep learning pipeline for glaucoma detection | IDSC 2026 | ROC-AUC 0.9801